Orchestrate Autonomous Agents
With Absolute Integrity
Empower your enterprise with a production-ready, multi-model agentic ecosystem. Seamlessly switch between Google Gemini, OpenAI, and other LLMs with absolute stability, dynamic token pricing ledger tracing, and privacy-first data masking.
Sovereign AI for Critical Industries
SavazAI provides a private, secure, and sovereign environment for businesses, individuals, and organizations who must maintain absolute control over their data and AI agents.
Healthcare
HIPAA-compliant workflows with automatic PII data masking gateways ensuring patient medical records never leak to external LLM providers.
Finance & Banking
Audit trail execution tracing and strict rule-based orchestrations that enforce financial compliance controls and transaction limits.
Insurance
Automated policy assessment and claim validations with human-in-the-loop approvals for sensitive claims and payout decisions.
Legal & Government
Strict governance with AGENTS.md blueprints ensuring AI assistants adhere strictly to local statutes, regulatory guidelines, and corporate rules.
Multi-Model Infrastructure & Governance
SavazAI provides a well-defined, cross-provider governance harness enabling organizations to securely run, audit, and coordinate autonomous agent operations across Gemini, OpenAI, and custom API endpoints.
Data Privacy Gateway
Sanitize and mask sensitive PII/SPI fields automatically before queries hit non-local external LLM providers. Original data is rehydrated only within protected database boundaries.
Dynamic Telemetry & Cost Ledger
Track model execution metrics, latency, and exact token counts (including reasoning tokens) in real-time. Calculate transaction costs dynamically based on model pricing metadata rules.
OKF Matrix & System Prompt
Declare system configuration boundaries and system prompt matrices in the database. Ensure agents behave predictably according to strict corporate rule limits.
Plan-Act-Loop Orchestration
Define complex, multi-agent orchestrator workflows using stateful LangGraph structures. Automatically unwrap parallel tool executions and route mutation approvals.
Default Ambient Parameters
Prevent agent blindness and parameter errors on cold turns. Programmatically inject default ambient keys (like `weddingId`) directly from database states into tool call contexts.
Blueprints & Custom Skills
Support modular Markdown-defined skills and workspace-scoped `AGENTS.md` guidelines. Load, reload, and enforce procedural blueprints dynamically.
Easy Deployment Workflow
SavazAI can be easily deployed in your preferred local or private cloud environment through a streamlined process.
Deploy & Launch
Instantly run the secure multi-agent harness on your preferred local environment or virtual private server (VPS).
Configure Workspace
Set up your agent rules, default ambient settings, database credentials, and required workspace variables.
Connect & Orchestrate
Dynamically bind your Model Context Protocol (MCP) servers, custom skills, databases, and LLM providers to run workflows.
Need Help with Deployment?
Savazar provides complete deployment and consulting support to tailor the SavazAI Harness to your specific business rules, compliance standards, and custom agent integrations.